8074a1b082
将原先分散在 `chat/chat_loop` 和 `schedule` 目录下的 `WakeUpManager` 和 `SleepManager` 相关逻辑，统一移动并整合到新的 `src/chat/chat_loop/sleep_manager` 模块中。 这次重构旨在提高代码的模块化和内聚性，使睡眠相关的功能更加集中和易于管理。同时更新了所有相关的导入路径，以反映新的文件结构。
501 lines
21 KiB
Python
501 lines
21 KiB
Python
import orjson
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import asyncio
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from datetime import datetime, time, timedelta
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from typing import Optional, List, Dict, Any, TYPE_CHECKING
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from lunar_python import Lunar
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from pydantic import BaseModel, ValidationError, validator
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from src.common.database.sqlalchemy_models import Schedule, get_db_session
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from src.common.database.monthly_plan_db import (
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get_smart_plans_for_daily_schedule,
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update_plan_usage, # 保留兼容性
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)
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from src.config.config import global_config, model_config
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from src.llm_models.utils_model import LLMRequest
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from src.common.logger import get_logger
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from json_repair import repair_json
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from src.manager.async_task_manager import AsyncTask, async_task_manager
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from ..chat.chat_loop.sleep_manager.sleep_manager import SleepManager, SleepState
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if TYPE_CHECKING:
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from src.chat.chat_loop.sleep_manager.wakeup_manager import WakeUpManager
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logger = get_logger("schedule_manager")
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# 默认的日程生成指导原则
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DEFAULT_SCHEDULE_GUIDELINES = """
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我希望你每天都能过得充实而有趣。
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请确保你的日程里有学习新知识的时间，这是你成长的关键。
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但也不要忘记放松，可以看看视频、听听音乐或者玩玩游戏。
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晚上我希望你能多和朋友们交流，维系好彼此的关系。
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另外，请保证充足的休眠时间来处理和整合一天的数据。
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"""
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class ScheduleItem(BaseModel):
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"""单个日程项的Pydantic模型"""
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time_range: str
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activity: str
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@validator("time_range")
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def validate_time_range(cls, v):
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"""验证时间范围格式"""
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if not v or "-" not in v:
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raise ValueError("时间范围必须包含'-'分隔符")
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try:
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start_str, end_str = v.split("-", 1)
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start_str = start_str.strip()
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end_str = end_str.strip()
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# 验证时间格式
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datetime.strptime(start_str, "%H:%M")
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datetime.strptime(end_str, "%H:%M")
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return v
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except ValueError as e:
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raise ValueError(f"时间格式无效，应为HH:MM-HH:MM格式: {e}") from e
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@validator("activity")
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def validate_activity(cls, v):
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"""验证活动描述"""
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if not v or not v.strip():
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raise ValueError("活动描述不能为空")
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return v.strip()
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class ScheduleData(BaseModel):
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"""完整日程数据的Pydantic模型"""
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schedule: List[ScheduleItem]
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@validator("schedule")
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def validate_schedule_completeness(cls, v):
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"""验证日程是否覆盖24小时"""
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if not v:
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raise ValueError("日程不能为空")
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# 收集所有时间段
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time_ranges = []
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for item in v:
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try:
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start_str, end_str = item.time_range.split("-", 1)
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start_time = datetime.strptime(start_str.strip(), "%H:%M").time()
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end_time = datetime.strptime(end_str.strip(), "%H:%M").time()
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time_ranges.append((start_time, end_time))
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except ValueError:
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continue
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# 检查是否覆盖24小时
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if not cls._check_24_hour_coverage(time_ranges):
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raise ValueError("日程必须覆盖完整的24小时")
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return v
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@staticmethod
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def _check_24_hour_coverage(time_ranges: List[tuple]) -> bool:
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"""检查时间段是否覆盖24小时"""
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if not time_ranges:
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return False
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# 将时间转换为分钟数进行计算
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def time_to_minutes(t: time) -> int:
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return t.hour * 60 + t.minute
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# 创建覆盖情况数组 (1440分钟 = 24小时)
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covered = [False] * 1440
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for start_time, end_time in time_ranges:
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start_min = time_to_minutes(start_time)
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end_min = time_to_minutes(end_time)
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if start_min <= end_min:
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# 同一天内的时间段
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for i in range(start_min, end_min):
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if i < 1440:
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covered[i] = True
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else:
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# 跨天的时间段
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for i in range(start_min, 1440):
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covered[i] = True
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for i in range(0, end_min):
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covered[i] = True
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# 检查是否所有分钟都被覆盖
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return all(covered)
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class ScheduleManager:
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def __init__(self):
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self.today_schedule: Optional[List[Dict[str, Any]]] = None
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self.llm = LLMRequest(model_set=model_config.model_task_config.schedule_generator, request_type="schedule")
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self.max_retries = -1 # 无限重试，直到成功生成标准日程表
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self.daily_task_started = False
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self.schedule_generation_running = False # 防止重复生成任务
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self.sleep_manager = SleepManager(self)
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async def start_daily_schedule_generation(self):
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"""启动每日零点自动生成新日程的任务"""
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if not self.daily_task_started:
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logger.info("正在启动每日日程生成任务...")
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task = DailyScheduleGenerationTask(self)
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await async_task_manager.add_task(task)
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self.daily_task_started = True
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logger.info("每日日程生成任务已成功启动。")
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else:
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logger.info("每日日程生成任务已在运行中。")
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async def load_or_generate_today_schedule(self):
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# 检查是否启用日程管理功能
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if not global_config.schedule.enable:
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logger.info("日程管理功能已禁用，跳过日程加载和生成。")
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return
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today_str = datetime.now().strftime("%Y-%m-%d")
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try:
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with get_db_session() as session:
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schedule_record = session.query(Schedule).filter(Schedule.date == today_str).first()
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if schedule_record:
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logger.info(f"从数据库加载今天的日程 ({today_str})。")
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schedule_data = orjson.loads(str(schedule_record.schedule_data))
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if self._validate_schedule_with_pydantic(schedule_data):
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self.today_schedule = schedule_data
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schedule_str = f"已成功加载今天的日程 ({today_str})：\n"
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if self.today_schedule:
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for item in self.today_schedule:
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schedule_str += (
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f" - {item.get('time_range', '未知时间')}: {item.get('activity', '未知活动')}\n"
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)
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logger.info(schedule_str)
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return # 成功加载，直接返回
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else:
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logger.warning("数据库中的日程数据格式无效，将重新生成日程")
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else:
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logger.info(f"数据库中未找到今天的日程 ({today_str})，将调用 LLM 生成。")
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# 仅在需要时生成
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await self.generate_and_save_schedule()
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except Exception as e:
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logger.error(f"加载或生成日程时出错: {e}")
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logger.info("尝试生成日程作为备用方案...")
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await self.generate_and_save_schedule()
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async def generate_and_save_schedule(self):
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"""将日程生成任务提交到后台执行"""
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if self.schedule_generation_running:
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logger.info("日程生成任务已在运行中，跳过重复启动")
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return
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logger.info("检测到需要生成日程，已提交后台任务。")
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task = OnDemandScheduleGenerationTask(self)
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await async_task_manager.add_task(task)
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async def _async_generate_and_save_schedule(self):
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"""异步生成并保存日程的内部方法"""
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self.schedule_generation_running = True
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try:
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now = datetime.now()
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today_str = now.strftime("%Y-%m-%d")
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current_month_str = now.strftime("%Y-%m")
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weekday = now.strftime("%A")
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# 新增：获取节日信息
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lunar = Lunar.fromDate(now)
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festivals = lunar.getFestivals()
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other_festivals = lunar.getOtherFestivals()
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all_festivals = festivals + other_festivals
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festival_block = ""
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if all_festivals:
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festival_text = "、".join(all_festivals)
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festival_block = f"**今天也是一个特殊的日子: {festival_text}！请在日程中考虑和庆祝这个节日。**"
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# 获取月度计划作为额外参考
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monthly_plans_block = ""
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used_plan_ids = []
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if global_config.monthly_plan_system and global_config.monthly_plan_system.enable:
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# 使用新的智能抽取逻辑
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avoid_days = getattr(global_config.monthly_plan_system, "avoid_repetition_days", 7)
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# 使用新的智能抽取逻辑
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avoid_days = getattr(global_config.monthly_plan_system, "avoid_repetition_days", 7)
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sampled_plans = get_smart_plans_for_daily_schedule(
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current_month_str, max_count=3, avoid_days=avoid_days
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)
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# 如果计划耗尽，则触发补充生成
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if not sampled_plans:
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logger.info("可用的月度计划已耗尽或不足，触发后台补充生成...")
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from mmc.src.schedule.monthly_plan_manager import monthly_plan_manager
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# 等待月度计划生成完成
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await monthly_plan_manager.ensure_and_generate_plans_if_needed(current_month_str)
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# 重新获取月度计划
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sampled_plans = get_smart_plans_for_daily_schedule(
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current_month_str, max_count=3, avoid_days=avoid_days
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)
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logger.info("月度计划补充生成完毕，继续日程生成任务。")
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if sampled_plans:
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plan_texts = "\n".join([f"- {plan.plan_text}" for plan in sampled_plans])
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monthly_plans_block = f"""
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**我这个月的一些小目标/计划 (请在今天的日程中适当体现)**:
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{plan_texts}
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"""
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guidelines = global_config.schedule.guidelines or DEFAULT_SCHEDULE_GUIDELINES
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personality = global_config.personality.personality_core
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personality_side = global_config.personality.personality_side
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base_prompt = f"""
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我，{global_config.bot.nickname}，需要为自己规划一份今天（{today_str}，星期{weekday}）的详细日程安排。
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{festival_block}
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**关于我**:
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- **核心人设**: {personality}
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- **具体习惯与兴趣**:
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{personality_side}
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{monthly_plans_block}
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**我今天的规划原则**:
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{guidelines}
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**重要要求**:
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1. 必须返回一个完整的、有效的JSON数组格式
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2. 数组中的每个对象都必须包含 "time_range" 和 "activity" 两个键
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3. 时间范围必须覆盖全部24小时，不能有遗漏
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4. time_range格式必须为 "HH:MM-HH:MM" (24小时制)
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5. 相邻的时间段必须连续，不能有间隙
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6. 不要包含任何JSON以外的解释性文字或代码块标记
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**示例**:
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[
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{{"time_range": "00:00-07:00", "activity": "进入梦乡，处理数据"}},
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{{"time_range": "07:00-08:00", "activity": "起床伸个懒腰，看看今天有什么新闻"}},
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{{"time_range": "08:00-09:00", "activity": "享用早餐，规划今天的任务"}},
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{{"time_range": "09:00-23:30", "activity": "其他活动"}},
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{{"time_range": "23:30-00:00", "activity": "准备休眠"}}
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]
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请你扮演我，以我的身份和口吻，为我生成一份完整的24小时日程表。
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"""
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# 无限重试直到生成成功的标准日程表
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attempt = 0
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while True:
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attempt += 1
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try:
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logger.info(f"正在生成日程 (第 {attempt} 次尝试)")
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# 构建当前尝试的prompt，增加压力提示
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prompt = base_prompt
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if attempt > 1:
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failure_hint = f"""
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**重要提醒 (第{attempt}次尝试)**:
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- 前面{attempt - 1}次生成都失败了，请务必严格按照要求生成完整的24小时日程
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- 确保JSON格式正确，所有时间段连续覆盖24小时
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- 时间格式必须为HH:MM-HH:MM，不能有时间间隙或重叠
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- 不要输出任何解释文字，只输出纯JSON数组
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- 确保输出完整，不要被截断
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"""
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prompt += failure_hint
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response, _ = await self.llm.generate_response_async(prompt)
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# 尝试解析和验证JSON（项目内置的反截断机制会自动处理截断问题）
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schedule_data = orjson.loads(repair_json(response))
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# 使用Pydantic验证生成的日程数据
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if self._validate_schedule_with_pydantic(schedule_data):
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# 验证通过，保存到数据库
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with get_db_session() as session:
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# 检查是否已存在今天的日程
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existing_schedule = session.query(Schedule).filter(Schedule.date == today_str).first()
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if existing_schedule:
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# 更新现有日程
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session.query(Schedule).filter(Schedule.date == today_str).update(
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{
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Schedule.schedule_data: orjson.dumps(schedule_data).decode("utf-8"),
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Schedule.updated_at: datetime.now(),
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}
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)
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else:
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# 创建新日程
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new_schedule = Schedule(
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date=today_str, schedule_data=orjson.dumps(schedule_data).decode("utf-8")
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)
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session.add(new_schedule)
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session.commit()
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# 美化输出
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schedule_str = f"✅ 经过 {attempt} 次尝试，成功生成并保存今天的日程 ({today_str})：\n"
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for item in schedule_data:
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schedule_str += (
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f" - {item.get('time_range', '未知时间')}: {item.get('activity', '未知活动')}\n"
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)
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logger.info(schedule_str)
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self.today_schedule = schedule_data
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# 成功生成日程后，更新使用过的月度计划的统计信息
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if used_plan_ids and global_config.monthly_plan_system:
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logger.info(f"更新使用过的月度计划 {used_plan_ids} 的统计信息。")
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update_plan_usage(used_plan_ids, today_str) # type: ignore
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# 成功生成，退出无限循环
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break
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else:
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logger.warning(f"第 {attempt} 次生成的日程验证失败，继续重试...")
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# 添加短暂延迟，避免过于频繁的请求
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await asyncio.sleep(2)
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except Exception as e:
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logger.error(f"第 {attempt} 次生成日程失败: {e}")
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logger.info("继续重试...")
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# 添加短暂延迟，避免过于频繁的请求
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await asyncio.sleep(3)
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finally:
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self.schedule_generation_running = False
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logger.info("日程生成任务结束")
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def get_current_activity(self) -> Optional[str]:
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# 检查是否启用日程管理功能
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if not global_config.schedule.enable:
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return None
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if not self.today_schedule:
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return None
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now = datetime.now().time()
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for event in self.today_schedule:
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try:
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time_range = event.get("time_range")
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activity = event.get("activity")
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if not time_range or not activity:
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logger.warning(f"日程事件缺少必要字段: {event}")
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continue
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start_str, end_str = time_range.split("-")
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start_time = datetime.strptime(start_str.strip(), "%H:%M").time()
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end_time = datetime.strptime(end_str.strip(), "%H:%M").time()
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if start_time <= end_time:
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if start_time <= now < end_time:
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return activity
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else: # 跨天事件
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if now >= start_time or now < end_time:
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return activity
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except (ValueError, KeyError, AttributeError) as e:
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logger.warning(f"解析日程事件失败: {event}, 错误: {e}")
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continue
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return None
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def get_current_sleep_state(self) -> SleepState:
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"""获取当前的睡眠状态"""
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return self.sleep_manager.get_current_sleep_state()
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def is_sleeping(self) -> bool:
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"""检查当前是否处于正式休眠状态"""
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return self.sleep_manager.is_sleeping()
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async def update_sleep_state(self, wakeup_manager: Optional["WakeUpManager"] = None):
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"""更新睡眠状态"""
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await self.sleep_manager.update_sleep_state(wakeup_manager)
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def reset_sleep_state_after_wakeup(self):
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"""被唤醒后，将状态切换到 WOKEN_UP"""
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self.sleep_manager.reset_sleep_state_after_wakeup()
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def _validate_schedule_with_pydantic(self, schedule_data) -> bool:
|
||
"""使用Pydantic验证日程数据格式和完整性"""
|
||
try:
|
||
# 尝试用Pydantic模型验证
|
||
ScheduleData(schedule=schedule_data)
|
||
logger.info("日程数据Pydantic验证通过")
|
||
return True
|
||
except ValidationError as e:
|
||
logger.warning(f"日程数据Pydantic验证失败: {e}")
|
||
return False
|
||
except Exception as e:
|
||
logger.error(f"日程数据验证时发生异常: {e}")
|
||
return False
|
||
|
||
def _validate_schedule_data(self, schedule_data) -> bool:
|
||
"""保留原有的基础验证方法作为备用"""
|
||
if not isinstance(schedule_data, list):
|
||
logger.warning("日程数据不是列表格式")
|
||
return False
|
||
|
||
for item in schedule_data:
|
||
if not isinstance(item, dict):
|
||
logger.warning(f"日程项不是字典格式: {item}")
|
||
return False
|
||
|
||
if "time_range" not in item or "activity" not in item:
|
||
logger.warning(f"日程项缺少必要字段 (time_range 或 activity): {item}")
|
||
return False
|
||
|
||
if not isinstance(item["time_range"], str) or not isinstance(item["activity"], str):
|
||
logger.warning(f"日程项字段类型不正确: {item}")
|
||
return False
|
||
|
||
return True
|
||
|
||
|
||
class OnDemandScheduleGenerationTask(AsyncTask):
|
||
"""按需生成日程的后台任务"""
|
||
|
||
def __init__(self, schedule_manager: "ScheduleManager"):
|
||
task_name = f"OnDemandScheduleGenerationTask-{datetime.now().strftime('%Y%m%d%H%M%S')}"
|
||
super().__init__(task_name=task_name)
|
||
self.schedule_manager = schedule_manager
|
||
|
||
async def run(self):
|
||
logger.info(f"后台任务 {self.task_name} 开始执行日程生成。")
|
||
await self.schedule_manager._async_generate_and_save_schedule()
|
||
logger.info(f"后台任务 {self.task_name} 完成。")
|
||
|
||
|
||
class DailyScheduleGenerationTask(AsyncTask):
|
||
"""每日零点自动生成新日程的任务"""
|
||
|
||
def __init__(self, schedule_manager: "ScheduleManager"):
|
||
super().__init__(task_name="DailyScheduleGenerationTask")
|
||
self.schedule_manager = schedule_manager
|
||
|
||
async def run(self):
|
||
while True:
|
||
try:
|
||
# 1. 计算到下一个零点的时间
|
||
now = datetime.now()
|
||
tomorrow = now.date() + timedelta(days=1)
|
||
midnight = datetime.combine(tomorrow, time.min)
|
||
sleep_seconds = (midnight - now).total_seconds()
|
||
|
||
logger.info(
|
||
f"下一次日程生成任务将在 {sleep_seconds:.2f} 秒后运行 (北京时间 {midnight.strftime('%Y-%m-%d %H:%M:%S')})"
|
||
)
|
||
|
||
# 2. 等待直到零点
|
||
await asyncio.sleep(sleep_seconds)
|
||
|
||
# 3. 执行日程生成
|
||
logger.info("到达每日零点，开始生成新的一天日程...")
|
||
await self.schedule_manager._async_generate_and_save_schedule()
|
||
|
||
except asyncio.CancelledError:
|
||
logger.info("每日日程生成任务被取消。")
|
||
break
|
||
except Exception as e:
|
||
logger.error(f"每日日程生成任务发生未知错误: {e}")
|
||
# 发生错误后，等待5分钟再重试，避免频繁失败
|
||
await asyncio.sleep(300)
|
||
|
||
|
||
schedule_manager = ScheduleManager()
|